Comfy-agent curated_wan_2_2_i2v_14b_gguf_with_lora_included
install
source · Clone the upstream repo
git clone https://github.com/steliosot/comfy-agent
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/steliosot/comfy-agent "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/workflows/video_t2v_i2v_avatar/curated_wan_2_2_i2v_14b_gguf_with_lora_included" ~/.claude/skills/steliosot-comfy-agent-curated-wan-2-2-i2v-14b-gguf-with-lora-included && rm -rf "$T"
manifest:
skills/workflows/video_t2v_i2v_avatar/curated_wan_2_2_i2v_14b_gguf_with_lora_included/SKILL.mdsource content
curated_wan_2_2_i2v_14b_gguf_with_lora_included
Curated workflow skill generated from
Wan 2.2 I2V 14b GGUF with Lora Included.json.
Capability Family
video_t2v_i2v_avatar
Inputs
- Optional runtime overrides supported by
:run(...)promptnegative_prompt
,widthheight
,seed
,stepscfg
,sampler_name
,schedulerdenoise
,server
,headersapi_prefix
Outputs
- Returns JSON with:
statusprompt_id
(includes image/video entries reported by Comfy history)output_images
Model Requirements
:vae
->wan_2.1_vae.safetensorsmodels/vae
:clip
->umt5_xxl_fp8_e4m3fn_scaled.safetensorsmodels/clip
:diffusion_model
->wan2.2_i2v_A14b_high_noise_lightx2v_4step-Q6_K.ggufmodels/diffusion_models
:diffusion_model
->wan2.2_i2v_A14b_low_noise_lightx2v_4step-Q6_K.ggufmodels/diffusion_models
Custom Node Requirements
ComfyUI-GGUFcomfyui-videohelpersuite
Links Extracted From Workflow Notes
- https://discord.com/invite/gggpkVgBf3
- https://docs.comfy.org/tutorials/video/wan/wan2_2
- https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/text_encoders/umt5_xxl_fp8_e4m3fn_scaled.safetensors?download=true
- https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/vae/wan_2.1_vae.safetensors?download=true
- https://huggingface.co/Wan-AI/Wan2.2-I2V-A14B
- https://huggingface.co/jayn7/WAN2.2-I2V_A14B-DISTILL-LIGHTX2V-4STEP-GGUF/resolve/main/high_noise/wan2.2_i2v_A14b_high_noise_lightx2v_4step-Q6_K.gguf?download=true
- https://huggingface.co/jayn7/WAN2.2-I2V_A14B-DISTILL-LIGHTX2V-4STEP-GGUF/resolve/main/low_noise/wan2.2_i2v_A14b_low_noise_lightx2v_4step-Q6_K.gguf?download=true
- https://huggingface.co/jayn7/WAN2.2-I2V_A14B-DISTILL-LIGHTX2V-4STEP-GGUF/tree/main
- https://www.youtube.com/@pixaroma
Source
- Original:
comfy-data/workflows/Wan 2.2 I2V 14b GGUF with Lora Included.json
Routing Metadata
- Family:
video_t2v_i2v_avatar - Input modalities:
image, text_prompt - Output modalities:
video/mp4 - Model families:
sd3, wan - Node count:
18 - Complexity score:
9 - Resource profile:
very_high - Estimated runtime:
heavy (can exceed 6 min; best on high-VRAM GPU) - Max latent resolution hint:
xNoneNone - Max sampler steps hint:
None
Detected Models
:vae
->wan_2.1_vae.safetensorsmodels/vae
:clip
->umt5_xxl_fp8_e4m3fn_scaled.safetensorsmodels/clip
:diffusion_model
->wan2.2_i2v_A14b_high_noise_lightx2v_4step-Q6_K.ggufmodels/diffusion_models
:diffusion_model
->wan2.2_i2v_A14b_low_noise_lightx2v_4step-Q6_K.ggufmodels/diffusion_models
Detected Custom Nodes
ComfyUI-GGUFcomfyui-videohelpersuite
Runtime Warnings
- Large model(s) detected; ensure enough VRAM and disk space.
- Uses custom nodes; missing nodes can cause validation/runtime failures.
- Video workflow: usually slower and VRAM-intensive than still-image workflows.